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Apathy is a salient feature of various neuropsychiatric disorders, from depression to Alzheimer's disease. We formally assess its prevalence in idiopathic Parkinson's disease (PD) together with its clinical, neuropsychological, and morphometric correlates. Thirty patients with PD and 25 normal controls were assessed using an extensive neuropsychological(More)
This paper presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the chains corpus, in a closed-set speaker identification task. The main objective of the paper is to present a novel parametrization of speech that is based on the AM-FM representation of the speech(More)
The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using a new set of descriptors. A Wavelet Packet Transform is applied to obtain(More)
Automatic annotation of music files is a key problem in multimedia information retrieval. In this paper we present a solution to this problem that addresses the issues of feature extraction, feature selection and design of classi-fier. We outline a process for feature extraction based on the discrete wavelet packet transform and we evaluate a variety of(More)
BACKGROUND Subthalamic Deep Brain Stimulation is a valid surgical procedure for the treatment of idiopathic PD, although its precise mechanism of action is still unclear; moreover, there are no conclusive data about the functional anatomy of the human subthalamic region. Identifying the location of active contacts for StnDBS can yield interesting insights(More)
The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round-robin classification technique.(More)
This paper describes the operation of and research behind a networked application for the delivery of personalised streams of music at Trinity College Dublin. Smart Radio is a web based client-server application that uses streaming audio technology and recommendation techniques to allow users build, manage and share music programmes. While it is generally(More)
In recent years many research projects have been published in the area of multimedia information retrieval (MIR). The requirement is to enable access to multimedia data with the same ease as textual information. A distinctly new branch in the MIR research area is categorizing music items by user preference. Some experiments proposed and published by(More)
The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round-robin classification technique.(More)